A multi-objective endocrine PSO algorithm and application. - Debao Chen; Feng Zou 001; Jiangtao Wang 002 (Appl. Soft Comput., 2011)

An improved group search optimizer with operation of quantum-behaved swarm and its application. - Debao Chen; Jiangtao Wang 002; Feng Zou 001; Weibo Hou; Chunxia Zhao (Appl. Soft Comput., 2012)

Linguistic fuzzy model identification based on PSO with different length of particles. - Debao Chen; Jiangtao Wang 002; Feng Zou 001; Haofeng Zhang 001; Weibo Hou (Appl. Soft Comput., 2012)

A Distance Interaction Method Based on Pen. - Lei Wang 030; Kuo Gao; Qiaoyong Jiang; Feng Zou 001 (CIS, 2013)

Teaching-Learning-Based Optimization Algorithm in Dynamic Environments. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Qiaoyong Jiang; Dongdong Yang (SEMCCO (1), 2013)

Multi-objective optimization using teaching-learning-based optimization algorithm. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Debao Chen; Bin Wang 046 (Eng. Appl. Artif. Intell., 2013)

Optimal approximation of stable linear systems with a novel and efficient optimization algorithm. - Qiaoyong Jiang; Lei Wang 030; Xinhong Hei 001; Rong Fei; Dongdong Yang; Feng Zou 001; Hongye Li; Zijian Cao 001; Yanyan Lin (IEEE Congress on Evolutionary Computation, 2014)

A novel distributed algorithm to solve self-organizing network of multicast routing. - Hongye Li; Lei Wang 030; Dongdong Yang; Rong Fei; Feng Zou 001; Qiaoyong Jiang (ICNC, 2014)

An improved teaching-learning-based optimization with neighborhood search for applications of ANN. - Lei Wang 030; Feng Zou 001; Xinhong Hei 001; Dongdong Yang; Debao Chen; Qiaoyong Jiang (Neurocomputing, 2014)

Teaching-learning-based optimization with dynamic group strategy for global optimization. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Debao Chen; Dongdong Yang (Inf. Sci., 2014)

Time series prediction with improved neuro-endocrine model. - Debao Chen; Jiangtao Wang 002; Feng Zou 001; Wujie Yuan; Weibo Hou (Neural Comput. Appl., 2014)

A hybridization of teaching-learning-based optimization and differential evolution for chaotic time series prediction. - Lei Wang 030; Feng Zou 001; Xinhong Hei 001; Dongdong Yang; Debao Chen; Qiaoyong Jiang; Zijian Cao 001 (Neural Comput. Appl., 2014)

Teaching-learning-based optimization with learning experience of other learners and its application. - Feng Zou 001; Lei Wang 030; Xinhong Hei 001; Debao Chen (Appl. Soft Comput., 2015)

An improved teaching-learning-based optimization algorithm for solving global optimization problem. - Debao Chen; Feng Zou 001; Zheng Li; Jiangtao Wang 002; Suwen Li (Inf. Sci., 2015)

An improved PSO algorithm based on particle exploration for function optimization and the modeling of chaotic systems. - Debao Chen; Jing Chen 022; Hao Jiang 008; Feng Zou 001; Tundong Liu (Soft Comput., 2015)

A teaching-learning-based optimization algorithm with producer-scrounger model for global optimization. - Debao Chen; Feng Zou 001; Jiangtao Wang 002; Wujie Yuan (Soft Comput., 2015)

An Improved Teaching-Learning-Based Optimization with the Social Character of PSO for Global Optimization. - Feng Zou 001; Debao Chen; Jiangtao Wang 002 (Comput. Intell. Neurosci., 2016)

Teaching-learning-based optimization with variable-population scheme and its application for ANN and global optimization. - Debao Chen; Renquan Lu; Feng Zou 001; Suwen Li (Neurocomputing, 2016)

Multi-objective optimization of community detection using discrete teaching-learning-based optimization with decomposition. - Debao Chen; Feng Zou 001; Renquan Lu; Lei Yu; Zheng Li; Jiangtao Wang 002 (Inf. Sci., 2016)

SAMCCTLBO: a multi-class cooperative teaching-learning-based optimization algorithm with simulated annealing. - Debao Chen; Feng Zou 001; Jiangtao Wang 002; Wujie Yuan (Soft Comput., 2016)

An Experience Information Teaching-Learning-Based Optimization for Global Optimization. - Zhuo Wang 003; Renquan Lu; Debao Chen; Feng Zou 001 (IEEE Trans. Syst. Man Cybern. Syst., 2016)

Community detection in complex networks: Multi-objective discrete backtracking search optimization algorithm with decomposition. - Feng Zou 001; Debao Chen; Suwen Li; Renquan Lu; Muyi Lin (Appl. Soft Comput., 2017)

A learning and niching based backtracking search optimisation algorithm and its applications in global optimisation and ANN training. - Debao Chen; Renquan Lu; Feng Zou 001; Suwen Li; Peng Wang (Neurocomputing, 2017)

Learning backtracking search optimisation algorithm and its application. - Debao Chen; Feng Zou 001; Renquan Lu; Peng Wang (Inf. Sci., 2017)

Hierarchical multi-swarm cooperative teaching-learning-based optimization for global optimization. - Feng Zou 001; Debao Chen; Renquan Lu; Peng Wang (Soft Comput., 2017)

Teaching-learning-based optimization with differential and repulsion learning for global optimization and nonlinear modeling. - Feng Zou 001; Debao Chen; Renquan Lu; Suwen Li; Lehui Wu (Soft Comput., 2018)

A hybrid fuzzy inference prediction strategy for dynamic multi-objective optimization. - Debao Chen; Feng Zou 001; Renquan Lu; Xude Wang (Swarm Evol. Comput., 2018)

A Discrete Sine Cosine Algorithm for Community Detection. - Yongqi Zhao; Feng Zou 001; Debao Chen (ICIC (1), 2019)

Exploring the Reasons Behind the Good Performance of Opposition-Based Learning. - Qingzheng Xu; Na Wang 006; Feng Zou 001; Jungang Yang 001 (IEEE Access, 2019)

A survey of teaching-learning-based optimization. - Feng Zou 001; Debao Chen; Qingzheng Xu (Neurocomputing, 2019)

Backtracking search optimization algorithm based on knowledge learning. - Debao Chen; Feng Zou 001; Renquan Lu; Suwen Li (Inf. Sci., 2019)

An effective variable transfer strategy in multitasking optimization. - Qingzheng Xu; Balin Tian; Lei Wang 030; Qian Sun; Feng Zou 001 (GECCO Companion, 2020)

An enhanced colliding bodies optimization and its application. - Debao Chen; Renquan Lu; Suwen Li; Feng Zou 001; Yajun Liu (Artif. Intell. Rev., 2020)

A new prediction strategy combining T-S fuzzy nonlinear regression prediction and multi-step prediction for dynamic multi-objective optimization. - Feng Zou 001; Debao Chen; Qingzheng Xu; Renquan Lu (Swarm Evol. Comput., 2020)

An Improved Teaching-Learning-Based Optimization for Multitask Optimization Problems. - Wei Guo; Feng Zou 001; Debao Chen; Hui Liu; Siyu Cao (ICIC (1), 2021)

A two-stage personalized recommendation based on multi-objective teaching-learning-based optimization with decomposition. - Feng Zou 001; Debao Chen; Qingzheng Xu; Ziqi Jiang; Jiahui Kang (Neurocomputing, 2021)

A novel hybrid dynamic fireworks algorithm with particle swarm optimization. - Fang Zhu; Debao Chen; Feng Zou 001 (Soft Comput., 2021)

A New Fitness-Landscape-Driven Particle Swarm Optimization. - Xuying Ji; Feng Zou 001; Debao Chen; Yan Zhang (ICIC (1), 2022)

Heterogeneous ensemble algorithms for function optimization. - Yu Deng; Debao Chen; Feng Zou 001; Yuan Chen; Ying Zheng; Ming-Lan Fu; Chun Wang (Appl. Intell., 2022)

Correction to: Heterogeneous ensemble algorithms for function optimization. - Yu Deng; Debao Chen; Feng Zou 001; Yuan Chen; Ying Zheng; Minglan Fu; Chun Wang (Appl. Intell., 2022)

An ensemble multi-swarm teaching-learning-based optimization algorithm for function optimization and image segmentation. - Ziqi Jiang; Feng Zou 001; Debao Chen; Siyu Cao; Hui Liu; Wei Guo (Appl. Soft Comput., 2022)

Poplar optimization algorithm: A new meta-heuristic optimization technique for numerical optimization and image segmentation. - Debao Chen; Yuanyuan Ge; Yujie Wan; Yu Deng; Yuan Chen; Feng Zou 001 (Expert Syst. Appl., 2022)

A survey of fitness landscape analysis for optimization. - Feng Zou 001; Debao Chen; Hui Liu; Siyu Cao; Xuying Ji; Yan Zhang (Neurocomputing, 2022)

Large-scale multiobjective optimization with adaptive competitive swarm optimizer and inverse modeling. - Yuanyuan Ge; Debao Chen; Feng Zou 001; Ming-Lan Fu; Fangzhen Ge (Inf. Sci., 2022)

Self-Attention based fine-grained cross-media hybrid network. - Wei Shan; Dan Huang; Jiangtao Wang 002; Feng Zou 001; Suwen Li (Pattern Recognit., 2022)

Nonlinear Inertia Weight Whale Optimization Algorithm with Multi-strategy and Its Application. - Cong Song Li; Feng Zou 001; Debao Chen (ICIC (1), 2023)

Sparrow Search Algorithm Based on Cubic Mapping and Its Application. - Shuo Zheng; Feng Zou 001; Debao Chen (ICIC (1), 2023)

A new hybrid prediction model with entropy-like kernel function for dynamic multi-objective optimization. - Siyu Cao; Feng Zou 001; Debao Chen; Hui Liu; Xuying Ji; Yan Zhang (Appl. Intell., 2023)

Temporal distribution-based prediction strategy for dynamic multi-objective optimization assisted by GRU neural network. - Xing Hou; Fangzhen Ge; Debao Chen; Longfeng Shen; Feng Zou 001 (Inf. Sci., 2023)

Multi-modal Multi-objective Particle Swarm Optimization Algorithm with Bi-topological Structures and Rebirth Mechanism. - Huimei Huang; Feng Zou 001; Debao Chen (ICIC (1), 2024)

Guided prediction strategy based on regional multi-directional information fusion for dynamic multi-objective optimization. - Jinyu Feng; Debao Chen; Feng Zou 001; Fangzhen Ge; Xiaotong Bian; Xuenan Zhang (Inf. Sci., 2024)

A hierarchical JAYA algorithm for numerical optimization and image segmentation. - Hui Liu; Feng Zou 001; Debao Chen (Soft Comput., 2024)

Automatic channel pruning by neural network based on improved poplar optimisation algorithm. - Yuanxu Hu; Debao Chen; Feng Zou 001; Yajun Liu (Knowl. Based Syst., 2025)

Multitask particle swarm optimization algorithm leveraging variable chunking and local meta-knowledge transfer. - Xiaotong Bian; Debao Chen; Feng Zou 001; Fangzhen Ge; Yuhui Zheng; Fuqiang Liu (Swarm Evol. Comput., 2025)